code: def testAddUndirectedEdges(self):
      g_actual = copy.deepcopy(GRAPH)
      graph_utils.add_undirected_edges(g_actual)
      self.assertDictEqual(
          g_actual,
          {
              "A": {"B": 0.5, "C": 0.9, "D": 0.75},
              "B": {
                  "A": 0.5,  # Note, changed from 0.4 to 0.5
                  "C": 1.0,
              },
              "C": {"A": 0.9, "B": 1.0},  # Added  # Added  # Added
              "D": {"A": 0.75},
          },
      )
  
file_path: neural-structured-learning/neural_structured_learning/tools/graph_utils_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  from absl.testing import absltest
  from neural_structured_learning.tools import graph_utils
label_desc: Use image node_id 2 for calling the GraphUtilsTest obj's underlying member method code with example usage: obj.testAddUndirectedEdges() without return types